GeSTICS: A Multimodal Corpus for Studying Gesture Synthesis in Two-party Interactions with Contextualized Speech is a dataset published in PubMed (2024). On theSindex it has a DataRank of 0.244, placing it in the top 60.2% of the data-sharing corpus. It has been cited 3 times, with 3 citing works in its 1-hop citation network.
Ranks in the top 60% for downstream scientific impact
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.208
From this paper's citation signal
Citation Network Contribution
0.0359
From 2 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 3 citers.
NIH (National Institutes of Health)
Grant: U01MH116923,R01HD081362,R01MH125740,R01MH096951,R21MH130767,R01MH132225
NIMH NIH HHS
Grant: R01 MH096951
NIMH NIH HHS
Grant: U01 MH116923
NIMH NIH HHS
Grant: R01 MH125740
NIMH NIH HHS
Grant: R01 MH132225
NIMH NIH HHS
Grant: R21 MH130767
NICHD NIH HHS
Grant: R01 HD081362
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